Discourse Analyses of Chinese Visiting Professors at Canadian Universities: Adaptation and Transformation
Bibliographic record
Abstract
Chinese visiting professors, as Chinese university educators, are playing both practitioners and conformists in adapting to Western teaching perspectives and pedagogies while maintaining Chinese teaching beliefs. This study attempts to understand the international university experiences (Canada) of Chinese visiting professors. Arguably, Chinese visiting professors might potentially engage in programs aimed at providing an advance preparation for Chinese international graduate students, furthering their successful transition in study abroad. This paper is oriented to a post-structural paradigm in order to remain open to the attitudes, beliefs, and values of participants. The findings of a discourse analysis of Chinese visiting professors at a Canadian university are presented. The findings disclosed specific accounts as provided by this research group (i.e. dual academic and teaching experiences, and bicultural experiences in Chinese and Canadian universities). Using the findings, recommendations were made in bridging potential challenges to studying abroad. Specific to this task is the construction of an in-country program aimed at preparing Chinese undergraduate and graduate students for study overseas (specifically in Canada).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".